On the benefits of using surface Laplacian (current source density) methodology in electrophysiology

Kayser, Jürgen; Tenke, Craig E.

doi:10.1016/j.ijpsycho.2015.06.001

Cited by 203 publications

(153 citation statements)

References 33 publications

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“…The surface Laplacian is the second spatial derivative of the scalp‐recorded potentials for each electrode, thus transforming the scalp‐recorded EEG into estimates of current source density (CSD). We employed a spline flexibility constant of m = 3, which represents adequate flexibility to prevent distortion of the original data [Kayser & Tenke, ].…”

Section: Methodsmentioning

confidence: 99%

“…(C) Gaussian peak fits for TSC, and (D) TD participants. of m = 3, which represents adequate flexibility to prevent distortion of the original data [Kayser & Tenke, 2015].…”

Section: Eeg Acquisition and Processingmentioning

confidence: 99%

“…Structural lesions such as cortical and subcortical hamartomas (tubers) may alter EEG measures of functional connectivity through volume conduction [Nunez & Srinivasan, 2006;Nunez et al, 1997]. We applied surface Laplacian transform in an attempt to mitigate the effects of tubers [Kayser & Tenke, 2015]. The surface Laplacian isolates the source activity under each electrode.…”

Section: Limitationsmentioning

confidence: 99%

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Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex

Dickinson¹,

Varcin

Şahin

et al. 2019

Autism Research

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Tuberous sclerosis complex (TSC) is a rare genetic disorder that confers a high risk for autism spectrum disorders (ASD), with behavioral predictors of ASD emerging early in life. Deviations in structural and functional neural connectivity are highly implicated in both TSC and ASD. For the first time, we explore whether electroencephalographic (EEG) measures of neural network function precede or predict the emergence of ASD in TSC. We determine whether altered brain function (a) is present in infancy in TSC, (b) differentiates infants with TSC based on ASD diagnostic status, and (c) is associated with later cognitive function. We studied 35 infants with TSC (N = 35), and a group of typically developing infants (N = 20) at 12 and 24 months of age. Infants with TSC were later subdivided into ASD and non-ASD groups based on clinical evaluation. We measured features of spontaneous alpha oscillations (6–12 Hz) that are closely associated with neural network development: alpha power, alpha phase coherence (APC), and peak alpha frequency (PAF). Infants with TSC demonstrated reduced interhemispheric APC compared to controls at 12 months of age, and these differences were found to be most pronounced at 24 months in the infants who later developed ASD. Across all infants, PAF at 24 months was associated with verbal and nonverbal cognition at 36 months. Associations between early network function and later neurodevelopmental and cognitive outcomes highlight the potential utility of early scalable EEG markers to identify infants with TSC requiring additional targeted intervention initiated very early in life.

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Section: Methodsmentioning

confidence: 99%

“…(C) Gaussian peak fits for TSC, and (D) TD participants. of m = 3, which represents adequate flexibility to prevent distortion of the original data [Kayser & Tenke, 2015].…”

Section: Eeg Acquisition and Processingmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex

Dickinson¹,

Varcin

Şahin

et al. 2019

Autism Research

View full text Add to dashboard Cite

show abstract

“…CSD transformation was employed to sharpen the broad ERP voltage topographies caused by volume conduction throughout physiological tissues (Law et al, 1993;Nunez, 1981;Nunez & Srinivasan, 2006). It acts as a valuable, although not necessary, preprocessing step for temporal principal component analysis by giving a rough estimate of inner surface (dura) potential by filtering off the volume conduction (tPCA; Kayser & Tenke, 2006;Kayser & Tenke, 2015a;Tenke & Kayser, 2012). However, the use of the CSD in Studies II and III was not possible, because while applying longitudinal data, it was reasonable to use similar methods as in the previous publications of the same data.…”

Section: Methodsological Comparison Of Studies I-iiimentioning

confidence: 99%

Enhancement of brain event-related potentials to speech sounds is associated with compensated reading skills in dyslexic children with familial risk for dyslexia

Lohvansuu

Hämäläinen

Tanskanen

et al. 2014

International Journal of Psychophysiology

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“…The reason for this is that both the CSD-transformation and the beamformer function as a spatial filter (Kayser & Tenke, 2015;Nunez & Pilgreen, 1991). Importantly, for the beamforming analysis, the wavelet transformation procedure was applied without prior CSD-transformation of the data.…”

Section: Beamforming Analysismentioning

confidence: 99%

On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

Pscherer

Mückschel

Summerer

et al. 2019

Human Brain Mapping

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The modulation of theta frequency activity plays a major role in inhibitory control processes. However, the relevance of resting theta band activity and of the ability to spontaneously modulate this resting theta activity for neural mechanisms underlying inhibitory control is elusive. Various theoretical conceptions suggest to take these aspects into consideration. In the current study, we examine whether the strength of resting theta band activity or the ability to modulate the resting state theta activity affects response inhibition. We combined EEG‐time frequency decomposition and beamforming in a conflict‐modulated Go/Nogo task. A sample of N = 66 healthy subjects was investigated. We show that the strength of resting state theta activity modulates the effects of conflicts during motor inhibitory control. Especially when resting theta activity was low, conflicts strongly affected response inhibition performance and total theta band activity during Nogo trials. These effects were associated with theta‐related activity differences in the superior (BA7) and inferior parietal cortex (BA40). The results were very specific for total theta band activity since evoked theta activity and measures of intertrial phase coherency (phase‐locking factor) were not affected. The data suggest that the strength of resting state theta activity modulates processing of a theta‐related alarm or surprise signal during inhibitory control. The ability to voluntarily modulate theta band activity did not affect conflict‐modulated inhibitory control. These findings have important implications for approaches aiming to optimize human cognitive control.

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On the benefits of using surface Laplacian (current source density) methodology in electrophysiology

Cited by 203 publications

References 33 publications

Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex

Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex

Enhancement of brain event-related potentials to speech sounds is associated with compensated reading skills in dyslexic children with familial risk for dyslexia

On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control

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